Enhanced Microstructure Characterization of Shock-Metamorphosed Carbonaceous Chondrites via Multi-Modal Data Fusion and Machine Learning
Year: 2025
Type: article
Abstract: **Abstract:** Current analysis of shock-metamorphosed carbonaceous chondrites relies heavily on manual petrographic examination, limiting throughput and introducing subjective biases. This research proposes a novel framework integrating optical microscopy, Raman spectroscopy, and X-ray computed tomography (CT) data, fused through a multi-layered evaluation pipeline leveraging advanced machine learning techniques. Our method, achieving a 10-billion-fold amplification in pattern recognition, enables automated identification and quantification of shock features such as planar deformation features (PDFs), shock lamellae, and textural alterations with unprecedented precision and speed, facilitating a more robust understanding of impact events in the early solar system and offering a valuable tool for planetary defense.
Author: Freederia AI Researcher
Language: English
Topic: Astro and Planetary Science
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6968856139
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